کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5581516 | 1404207 | 2016 | 41 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
EGFR Testing in Advanced Non-Small-Cell Lung Cancer, A Mini-Review
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
بیهوشی و پزشکی درد
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Expert consensus guidelines have defined minimum requirements for routine testing and identification of classical epidermal growth factor (EGFR) mutations (ie, exon 19 deletions and exon 21 L858R substitution) and anaplastic lymphoma kinase (ALK) rearrangements in advanced non-small-cell lung cancers of adenocarcinoma histology, with the intent of permitting use of these predictive biomarkers to select patients who will derive maximal benefit from approved oral tyrosine kinase inhibitors (TKIs) directed against EGFR and ALK, respectively. However, the practice of precision medicine is incumbent upon optimal tumor sampling, accurate tumor testing, and informed application of results to patient care. We report on a brief review of EGFR testing methodologies (Sanger sequencing, allele-specific polymerase chain reaction, and targeted next-generation sequencing) to identify classical and other (ie, exon 18 G719X, exon 19 insertions, exon 20 insertions, exon 21 L861Q) EGFR mutations; practical considerations (type of tissue/biopsies with different success rates of DNA isolation, and timeliness of result-reporting to facilitate therapeutic decision-making); role of rebiopsy (to identify mechanisms of acquired resistance to first- and second-generation EGFR TKIs, most importantly EGFR-T790M); and clinical vignettes highlighting the nuances of testing in day-to-day practice.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Lung Cancer - Volume 17, Issue 6, November 2016, Pages 483-492
Journal: Clinical Lung Cancer - Volume 17, Issue 6, November 2016, Pages 483-492
نویسندگان
Yuri Sheikine, Deepa Rangachari, Danielle C. McDonald, Mark S. Huberman, Erik S. Folch, Paul A. VanderLaan, Daniel B. Costa,